Triple
T12597415
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Heun’s method |
E300767
|
entity |
| Predicate | computesIntermediateValue |
P51626
|
FINISHED |
| Object | y_tilde = y_n + h f(t_n, y_n) |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: y_tilde = y_n + h f(t_n, y_n) | Statement: [Heun’s method, computesIntermediateValue, y_tilde = y_n + h f(t_n, y_n)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: computesIntermediateValue Context triple: [Heun’s method, computesIntermediateValue, y_tilde = y_n + h f(t_n, y_n)]
-
A.
isUsedToCompute
Indicates that one entity serves as an input, basis, or resource for performing a calculation or deriving a result about another entity.
-
B.
usesIntermediateRepresentation
Indicates that one entity performs its processing or communication by first converting information into an intermediate representation before reaching the final form or outcome.
-
C.
computationInput
Indicates that an entity serves as input data or parameters consumed by a computation or processing activity.
-
D.
usesComputationMethod
Indicates that an entity performs its processing or decision-making by applying a specified computational method or algorithm.
-
E.
interpolationOf
chosen
Indicates that one entity is derived by estimating intermediate values between known data points of another entity.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d7bdea2ca881908f379526c13b1145 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d954e6e20481908bca684c4b497c48 |
completed | April 10, 2026, 7:52 p.m. |
| PD | Predicate disambiguation | batch_69d95416cbd88190b2c65196162349bc |
completed | April 10, 2026, 7:48 p.m. |
Created at: April 9, 2026, 5:08 p.m.